Data Scientist 3 - DATAS3

LanceSoft Inc

Birmingham, AL

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JOB DETAILS

SALARY

$70–$74.10 Per Hour

JOB TYPE

Full-time

SKILLS

A/B Testing, Algorithms, Analysis Skills, Apache Hadoop, Apache Spark, Big Data, Business Analysis, Business Solutions, Communication Skills, Computer Science, Cross-Functional, Data Analysis, Data Science, Data Sets, Data Visualization, Data Visualization Tools, Data Warehousing, Deep Learning, Distributed Computing, Information Technology & Information Systems, Information/Data Security (InfoSec), Leadership, Machine Learning, Mathematics, Mentoring, Model Validation, Neural Networks, Optimization Algorithm, Power BI, Predictive Modeling, Problem Solving Skills, Production Support, Production Systems, Programming Languages, Python Programming/Scripting Language, R Programming Language, Realtime Operating System, Regulatory Compliance, SQL (Structured Query Language), Software Engineering, Statistical Modeling, Statistics, Tableau, Test Design, Testing, Trend Analysis

LOCATION

Birmingham, AL

POSTED

6 days ago

Data Scientist Birmingham AL 35243 $70/hour - $74.10/Hour JD Key Responsibilities: Data Analysis: Expertly handle complex data sets, conduct in-depth data analysis, and derive actionable insights by applying advanced statistical and machine learning techniques. Predictive Modeling: Develop and deploy sophisticated machine learning models, utilizing algorithms like deep learning, ensemble methods, and neural networks to predict trends, behaviors, and outcomes. Data Visualization: Create compelling data visualizations that effectively communicate complex findings and insights using tools like Tableau, Power BI, or custom Python visualizations. Feature Engineering: Lead feature engineering efforts to identify and select critical data features, enhancing the predictive power of machine learning models. Statistical Validation: Formulate, implement, and test hypotheses, providing robust statistical validation for key business decisions. Algorithm Development: Lead the development of machine learning algorithms and their optimization to solve complex business problems. Data Integration: Collaborate with IT and data engineering teams to integrate and access data from various sources, data lakes, and data warehouses. Model Deployment: Oversee the deployment of machine learning models in production environments to support real-time decision-making and business applications. Experimentation & A/B Testing: Design and analyze A/B tests to measure the impact of changes, optimizations, and improvements. Data Ethics: Ensure ethical data practices, privacy compliance, and adherence to data protection regulations in all data science initiatives. Cross-functional Collaboration: Collaborate closely with cross-functional teams, including engineers, business analysts, domain experts, and executives to understand business requirements and align data science initiatives with organizational goals. Provide mentorship and guidance to junior data scientists, fostering their growth and development. Strategic Leadership: Act as a strategic leader, influencing data-driven culture across the organization, defining the data science roadmap, and contributing to long-term data strategy. Stay updated on the latest data science tools, techniques, and trends, continuously innovating and evaluating Innovation: new technologies to improve data science practices. Qualifications: Master's or Ph.D. in a quantitative field preferred (e.g., Computer Science, Statistics, Mathematics, Engineering). 10 to 15 years of experience in data science, including an extensive track record of implementing data solutions and driving data-driven decision-making. Proficiency in data analysis tools and programming languages such as Python, R, or Julia. Expert knowledge of machine learning algorithms and their applications. Exceptional skills in data visualization tools like Tableau, Power BI, or data visualization libraries in Python (e.g., Matplotlib, Seaborn). Profound understanding of databases and data manipulation using SQL. Outstanding problem-solving and critical thinking abilities. Strong leadership and communication skills, capable of conveying complex findings and insights to both technical and non-technical stakeholders. Extensive experience with big data technologies and distributed computing frameworks (e.g., Hadoop, Spark). Expertise in data ethics, privacy, and compliance considerations.

About the Company

LanceSoft Inc

We are a $125 Million, NMSDC-certified Minority & Woman owned Workforce Solutions Company headquartered in the DC metro area with presence across US with global presence - Canada, Mexico, India, UK, Malaysia, Indonasia, Hongkong, Singapore, UAE. We are specialized in providing Workforce Solutions, SOW project delivery, Engineering Solutions, Creative Services. We currently support 100+ Fortune companies globally and across multiple industry segments. We are currently supporting several massive programs across industry segment nationally/globally (Intel, Ally, AMD, QUALCOMM, Morgan Stanley, Kraft/ Mondelez, MNP, Amdocs, Dell, SanDisk, Medtronic, Becton Dickinson, GE, Lockheed Martin, UTC, L-3 Communications, Caterpillar, BMW, Mercedes Benz, National Grid, Dominion, Energy Future Holdings, PSEG, 3M, Fidelity, Aetna, Humana, Johnson & Johnson, Pfizer, Merck etc).

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender, identity, national origin, disability, or protected veteran status.

COMPANY SIZE

2,000 to 2,499 employees

INDUSTRY

Staffing/Employment Agencies

FOUNDED

2000

WEBSITE

http://www.lancesoft.com/